code: def forward(self, x):
      x = self.conv1(x)
      # x = self.bn1(x)
      x = self.relu(x)
      x = self.maxpool(x)
  
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
  
      x = self.avgpool(x)
      x = torch.flatten(x, 1)
      x = self.fc(x)
  
      return x
  
imports: import torch
  import torch.nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torch.hub import load_state_dict_from_url
  from torchvision.models.resnet import BasicBlock
label_desc: Use image node_id 3 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x